Working papers

Unconventional Monetary Policy and Funding Liquidity Risk

(joint with Adrien d’Avernas and Matthieu Darracq Pariès)

We present a macro-financial model in which funding liquidity risk of financial intermediaries is key in determining asset prices dynamics during a financial crisis. Intermediaries are subject to funding shocks. In normal times these are mitigated by using well-functioning money markets. In crisis time, this channel is impaired and asset prices drop to reflect increasing funding liquidity risk on leveraged positions. Unconventional Monetary policy can be used to alleviate this phenomena as: (i) increasing the supply of excess reserves provides a buffer against liquidity risk and (ii) purchasing directly long-term assets (quantitative easing) extracts funding liquidity risk from the market.

This article was awarded the 2018 Distinguished CESifo Affiliate Award in Macro, Money and International Finance.

When Short Drives Long: Endogenous Risk, Innovation, and Hysteresis

(joint with Adrien d’Avernas)

We propose a transmission mechanism from financial cycles to aggregate productivity growth.  We provide a structural macroeconomic model with heterogeneous risk aversion and endogenous productivity growth in which the financial sector is key in screening and absorbing innovation risk.  Shocks to innovation levels and volatility generate financial cycles. During financial stresses, the financial sector becomes undercapitalized and reduces its exposure to innovation risk.   As a consequence,  willingness to take risk in the economy is reduced, and less innovation occurs.  Using a large database on the U.S. financial sector from 1973 to 2014, we show that the combination of undercapitalization and heightened uncertainty generate large time-varying risk premia, safe asset shortage, and hysteresis in productivity growth following financial crises that are quantitatively consistent with empirical observations.  We derive macro-prudential policy implications of the arising trade-off between short-run growth and financial stability.

A Solution Method for Continuous-Time General Equilibrium Models

(joint with Adrien d’Avernas)

We propose a robust method for solving a wide class of continuous-time dynamic general equilibrium models. We rely on a finite-difference scheme to solve systems of partial differential equations with several endogenous state variables. This class of models includes the frameworks (among others) of He and Krishnamurthy (2013); Silva (2015); Brunnermeier and Sannikov (2014); and Di Tella (2016).